井下光谱多参数分析系统开发

本系统基于气体浓度光学分析方法理论朗伯-比尔(Lambert-Beer)定律、光谱气体检测技术开发,实现了对煤矿火灾与瓦斯灾害超前预警、灾害产生的有毒有害气体实时监测和煤矿环境气体爆炸危险性辨识,对于煤矿灾害防治、救灾过程中杜绝次生灾害,保障煤矿工人及救护队员的生命安全,促进煤矿安全生产具有重要意义。     

The Use of Remote Sensing and GIS in the Sustainable Management of Tropical Coastal Ecosystems

The sustainable use and management of important tropical coastal ecosystems (mangrove forests, seagrass beds and coral reefs) cannot be done without understanding the direct and indirect impacts of man. The ecosystem's resilience and recovery capacity following such impacts must be determined. The efficacy of mitigation measures must also be considered. Remote sensing and geographic information systems (GIS) are excellent tools to use in such studies. This paper reviews the state of the art and application of these tools in tropical coastal zones, and illustrates their relevance in sustainable development. It highlights a selected number of remote sensing case-studies on land cover patterns, population structure and dynamics, and stand characteristics from South-East Asia, Africa and South-America, with a particular emphasis on mangroves. It further shows how remote sensing technology and other scientific tools can be integrated in long-term studies, both retrospective and predictive, in order to anticipate degradation and to take mitigating measures at an early stage. The paper also highlights the guidelines for sustainable management that can result from remote sensing and GIS studies, and identifies existent gaps and research priorities.There is a need for more comprehensive approaches that deal with new remote sensing technologies and analysis in a GIS-environment, and that integrate findings collected over longer periods with the aim of prediction. It is also imperative to collect and integrate data from different disciplines. These are essential in the spirit of sustainable development and management, particularly in developing countries, which are often more vulnerable to environmental degradation.     

面向作物病害识别的高光谱波谱库设计与开发

自20世纪70年代以来,国内外波谱数据库发展迅速,但都存在着针对性不强的缺陷,不能满足我国现阶段遥感应用的需要。该文通过以小麦条锈病为案例的高光谱波谱库的设计与开发,实现了波谱查询、影像管理、用户管理、数据管理、反演模型等功能,可供其它面向病害识别的高光谱波谱库的建立参考。     

Dynamic taxation schemes to manage irrigation-induced salinity

This paper uses a dynamic model to explore the issue of irrigation-induced salinity, which puts irrigation at risk in most irrigated areas throughout the world. We address the design of instruments that an irrigation district board could implement to induce irrigators to take sustainable irrigation decisions. In our approach, the irrigators located above an aquifer participate in the accumulation of groundwater, a stock pollution. We analyse input-based instruments to induce the agents to follow the optimal stock path.     

贵州赤水宝元-元厚地区油气遥感信息分析

本文通过对赤水宝元－元厚地区地质背景的分析，研究影响油气遥感无价值信息的主要因素，确定排除油气遥感无价值信息的基本原则，从而决定油气遥感有用信息，并作出地质解释，说明油气遥感直接勘探是一种快速、经济、有效的方法。     

低温高铁锰氨氮地下水两级生物净化快速启动

为了实现东北地区低温（5~6℃）高铁、锰、氨氮（TFe：9~15mg/L，Fe²⁺：6~12mg/L，NH₃-N：1.4~2.0mg/L，Mn²⁺：1.4~2.0mg/L）地下水的净化及解决同层净化中运行稳定性差、出水锰超标的问题，在水厂净化车间开展“两级曝气+两级过滤”工艺启动研究，采用差滤速和同滤速2种启动方式分别启动两级生物净化工艺.结果表明，2种启动方式分别在106，59d启动成功.同滤速启动可以有效的缩短两级生物净化的启动时间，铁、锰、氨氮去除负荷可达110.69，18.80，19.54g/（m²·h），沿程分析发现，铁在一级滤柱的60cm处即被去除至痕量；85.08%的氨氮在一级滤柱中去除，沿程各段去除均匀，14.92%的氨氮在二级滤柱中去除；锰的去除率和氧化活性去除区位受滤速及进水氨氮浓度影响较大，33.72%的锰在一级滤柱中去除，66.28%的锰在二级滤柱中去除，锰的去除仍然是滤池成熟的决定性因素.     

卫星光学反射膜光谱反射率空间综合环境退化研究

对玻璃基底和金属基底的铝反射膜在紫外、低能电子、低能质子的综合环境作用下的光谱反射率退化进行了实验研究。试验结果表明两种铝反射膜的光谱反射率均发生了退化,且光谱反射率的退化主要集中在可见光波段,在近红外波段退化很小;玻璃基底铝反射膜退化在420 nm左右出现峰值点,2种金属基底铝反射膜的退化的峰值点在450 nm左右。由于电荷沉积在玻璃中后会抑制带电粒子入射,因此玻璃基底铝反射膜的退化要小于金属基底铝反射膜。     

辽河三角洲土壤中石油类含量光谱分析初探

石油类物质对土壤的污染在油田区域内是一个普遍存在的问题。全面了解土壤中石油类物质含量是评价土壤石油污染的前提条件。对土壤石油污染评价的传统方法是在野外实地进行大量土壤采样,然后在试验室内分析石油类物质的含量。文中提出了利用少量野外土壤石油类物质样品,并结合野外光谱测量的方法对土壤中石油类物质进行分析的新方法。该方法应用于辽河三角洲,具有快速、省钱、省时、省力的特点,能对土壤中石油类物质含量进行宏观分析。满足了油田开发对土壤及环境污染评价的需要,并能为制定油田开发管理保护对策提供辅助信息。     

Effect of 450 MHz Microwave Modulated with 217 Hz on Human EEG in Rest

Summary This study focuses on discrimination of changes, produced by low-level microwave exposure in intensity and time variability of the human EEG at rest. The power spectral density (PSD) method and nonlinear scaling analysis of the length distribution of low variability periods (LDLVP) were selected for analysis of the EEG signal. During the study, 19 healthy volunteers were exposed to a microwave (450 MHz) of 217 Hz frequency on-off modulation. The field power density at the scalp was 0.16 mW/cm². The experimental protocol consisted of ten cycles of repetitive microwave exposure. Signals from frontal, temporal, parietal and occipital EEG channels on EEG theta, alpha and beta rhythms were analysed. Exposure to microwave causes average increase of EEG activity. LDLVP analysis discriminated significant effect in time variability for 2 subjects (11%). PSD method detected significant changes in intensity for 4 subjects (21%). The effect of low-level microwave exposure is stronger on EEG beta rhythm in temporal and parietal regions of the human brain.     

京津冀产业碳排放强度变化及驱动因素研究

为探讨京津冀地区温室气体排放强度变化的影响因素,采用对数平均迪式分解模型及归因分析(LMDI-Attribution)方法,基于1996—2014年数据从细分行业角度进行研究。针对温室气体排放强度作产业结构、能源强度和排放因子三因素LMDI乘法分解,对温室气体排放强度变化的影响效应作归因分析,量化4个行业对分解因素影响效应的贡献,得到以下主要结论:1996—2014年京津冀地区温室气体排放强度主要呈现下降趋势,累计下降23.05%。其中,能源强度是温室气体排放强度下降的主导因素,其影响效应为-61.18%,对这一影响效应贡献最大的是工业,并且四大经济部门均通过能源强度在不同程度上使得温室气体排放强度有所减小,可见"阶梯电价"、"千家企业节能项目"、"十大重点节能项目"等相关政策在工业发展中对提高能源效率的作用明显。产业结构使得温室气体排放强度增加23.53%,其主要贡献者是工业,说明"工业产品出口退税率调整"等一系列政策的效果不明显;然而农业则使得温室气体排放强度降低,贡献值为3.09%。碳排放因子在1996—2014年间对温室气体排放强度的影响为60.47%,是京津冀地区温室气体排放强度增加的主要因素,说明京津冀地区的能源结构不合理。工业对这一效应的贡献最大为55.97%。可见,工业在京津冀地区的温室气体减排工作中起到最为关键的作用。